Motion Estimation Algorithms for Video Compression

Furht, Borko; Greenberg, Joshua; Westwater, Raymond

ISBN 10: 0792397932 / ISBN 13: 9780792397939

Verlag: Kluwer Academic Publishers, 1996

Describes motion estimation algorithms, their complexity, implementations, advantages and drawbacks. First, an overview of video compression techniques is presented with an emphasis on techniques which use motion estimation, such as MPEG and H.261/H.263. Then, this book presents a survey of motion estimation search algorithms. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 164 pages, biography. BIC Classification: TTB; UG. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 11. Weight in Grams: 426. . 1996. Hardback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9780792397939

Inhaltsangabe:

Video technology promises to be the key for the transmission of motion video. A number of video compression techniques and standards have been introduced in the past few years, particularly the MPEG-1 and MPEG-2 for interactive multimedia and for digital NTSC and HDTV applications, and H.2611H.263 for video telecommunications. These techniques use motion estimation techniques to reduce the amount of data that is stored and transmitted for each frame. This book is about these motion estimation algorithms, their complexity, implementations, advantages, and drawbacks. First, we present an overview of video compression techniques with an emphasis to techniques that use motion estimation, such as MPEG and H.2611H.263. Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. An evaluation of current search algorithms, based on a number of experiments on several test video sequences, is presented as well. The theoretical framework for a new fast search algorithm, Densely-Centered Uniform-P Search (DCUPS), is developed and presented in the book. The complexity of the DCUPS algorithm is comparable to other popular motion estimation techniques, however the algorithm shows superior results in terms of compression ratios and video qUality. We should stress out that these new results, presented in Chapters 4 and 5, have been developed by Joshua Greenberg, as part of his M.Sc. thesis entitled "Densely-Centered Uniform P-Search: A Fast Motion Estimation Algorithm" (FAU, 1996).

Über die Autorin bzw. den Autor: Nataliia Neshenko, Ph.D., FCCA, PMP, PMI-ACP is Visiting Instructor at the Department of Information Technology and Operations Management (ITOM) at the College of Business, Florida Atlantic University. Her research focus is operational cybersecurity, including attack detection and characterization, risk management methodologies, the Internet of Things, and visual data mining and analysis. Her research findings are published in leading refereed security and data science journals and conferences. Dr. Neshenko is a recipient of the Best Paper Award at the 2017 IEEE International Symposium on Personal Indoor and Mobile Radio Communications. She also has over 16 years of project management experience in the field of business optimization in finance and IT. Bou-Harb, Ph.D., CISSP received a Ph.D. degree in computer science from Concordia University, Montreal, Canada. He was a visiting research scientist at Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 2015-2016. He is currently the Director of The Cyber Center For Security and Analytics at the University of Texas at San Antonio (UTSA) and an Associate Professor at the Department of Information Systems and Cyber Security. Dr. Bou-Harb specializes in operational cyber security and data science as applicable to the national security challenge. He is also a research scientist at the National Cyber Forensic and Training Alliance (NCFTA) of Canada. His current research interests are operational cyber security, attack detection and characterization, Internet measurements, and cyber security for critical infrastructure. Dr. Bou-Harb has authored more than 120 refereed publications in leading security and data science venues; he is the recipient of 5 best research paper awards, including the prestigious ACM's best digital forensics research paper. His research is funded by state and federal cyber security research grants valued at more than $8M. Borko Furht, Ph.D. is Professor of Computer Science and Engineering at Florida Atlantic University and Director of the NSF Industry/University Cooperative Research Center for Advanced Knowledge Enablement. His areas of research include video and image processing and coding, Internet computing, and video applications in medicine, surveillance, and various industries. He published more than 300 referred papers, 45 books, and has about 60 patents and patent applications. He assured funding of about $25 million from government agencies such as NSF, Department of Navy, NASA, and NIH, and high-tech companies including Google, Motorola, Apple, IBM, LexisNexis, and others. He was Researcher of the Year at FAU in 2013 and 2019. He is a member of European Academy of Science. He has been an expert witness and consultant for a number of high-tech companies.

Bibliografische Details

Titel: Motion Estimation Algorithms for Video ...
Verlag: Kluwer Academic Publishers
Erscheinungsdatum: 1996
Einband: Hardcover
Zustand: New